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Measurement Scientist Jobs in Minnesota (NOW HIRING)

Senior Scientist - MSP

Shoreview, MN · On-site

$125 - $135/hr

Senior Scientist - MSP Location: Shoreview, MN, US, 55126 Who Are We? Do you want to help to make ... Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ...

Senior Scientist - MSP

Shoreview, MN

$92K - $126K/yr

Senior Scientist at MSP The Senior Scientist will be responsible for design, development, and ... Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ...

Senior Scientist - MSP

Shoreview, MN · On-site

$92K - $126K/yr

Senior Scientist at MSP The Senior Scientist will be responsible for design, development, and ... Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ...

Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning ... measure. Key Accountabilities * Design, develop, and maintain anomaly detection and pattern ...

... measure. Key Accountabilities Design, develop, and maintain anomaly detection and pattern ... Develop and maintain CI/CD workflows for data science solutions, including source control ...

We're looking for a Data Scientist who is passionate about solving complex business problems ... Measure and monitor results from implemented recommendations and model deployments. * Ensure all ...

New

Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

We're looking for a Data Scientist who is passionate about solving complex business problems ... Measure and monitor results from implemented recommendations and model deployments. Ensure all data ...

New

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Measurement Scientist information

What does a measurement scientist do?

A Measurement Scientist is a professional who specializes in developing, implementing, and improving methods and instruments used to measure physical, chemical, or biological properties. They ensure the accuracy, reliability, and precision of measurements in fields such as engineering, manufacturing, environmental science, and healthcare. Their work often involves calibrating instruments, analyzing data, and setting standards or protocols for measurement processes. Measurement Scientists play a crucial role in quality assurance, regulatory compliance, and scientific research.

What are some common challenges measurement scientists face when working with cross-functional teams?

Measurement Scientists often collaborate with engineers, product managers, and analysts to design experiments and interpret data. A common challenge is ensuring all stakeholders have a shared understanding of statistical methods and the limitations of measurement tools. Effective communication and the ability to translate complex findings into actionable insights are essential to bridge gaps between technical and non-technical team members. Adapting to varying project goals and timelines also requires strong project management skills.

What are the key skills and qualifications needed to thrive as a measurement scientist, and why are they important?

To thrive as a Measurement Scientist, you need a strong background in physics, mathematics, and data analysis, typically supported by an advanced degree in a relevant scientific or engineering field. Familiarity with measurement instrumentation, calibration procedures, statistical software, and laboratory information management systems (LIMS) is often required. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills ensure the accuracy and reliability of measurements, which are critical for research integrity and process improvement across scientific and industrial settings.

What is the difference between Measurement Scientist vs Data Analyst?

AspectMeasurement Scientist

Required CredentialsBachelor's or Master's in Science, Engineering, or related fields; often some certifications in measurement or data analysis
Work EnvironmentLaboratories, research facilities, industrial settings involving precise measurements
Employer & IndustryManufacturing, aerospace, pharmaceuticals, research institutions
Common Search & ComparisonMeasurement Scientist vs Data Analyst

Measurement Scientists focus on precise data collection, calibration, and analysis of physical measurements in technical environments. Data Analysts interpret data trends and generate insights primarily from digital datasets. While both roles require analytical skills and some overlapping certifications, Measurement Scientists emphasize physical measurement accuracy, whereas Data Analysts focus on data interpretation and reporting. Understanding these differences helps employers and professionals align skills with job requirements.

What job categories do people searching Measurement Scientist jobs in Minnesota look for?

The top searched job categories for Measurement Scientist jobs in Minnesota are:

What cities in Minnesota are hiring for Measurement Scientist jobs?

Cities in Minnesota with the most Measurement Scientist job openings:

Staff Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment (SIE)

Afton, MN • On-site, Remote

$212K - $318K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Staff Data Scientist - Experimentation & Measurement

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You'll Be Doing:

  • Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible.
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership.
  • Mentor and guide other Data Scientists, providing thought leadership and technical direction.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
  • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
  • Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
  • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.
  • Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

asic Requirements:

  • Bachelor'sdegree or equivalent.
  • 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
  • Proficiency in SQL and Python for data extraction, transformation, and analysis.
  • Broad and applied knowledge of statistical techniques.
  • Experience with machine learning modeling is a plus.
  • Proven ability to influence product and business decisions through clear, actionable insights.
  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
    Preferred Requirements:
    • Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
    • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.
$212,200-$318,200 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.